Every tool speaks a different dialect.
Claude, Codex, Copilot, Cursor, and custom agents all need the same bar for evidence before their work lands.
Verification infrastructure for AI coding agents
Run Claude, Codex, Copilot, or any prompt-reading CLI agent with repo-specific tests, lint, type checks, and security scans. Set the plan and quality gates, then require each iteration to pass.
Coding agents can generate useful changes, but teams still need a repeatable way to decide whether the work should be accepted. LoopGate turns that acceptance step into an explicit verification loop.
Claude, Codex, Copilot, Cursor, and custom agents all need the same bar for evidence before their work lands.
Teams need repeatable checks before a commit or push. Run fast preflight checks often and the full gate before pushing.
LoopGate is designed around repo-local commands and context instead of generic demos that collapse on contact with production code.
Each fresh agent iteration reads the plan and specs, makes a bounded change, updates progress, and commits through quality gates. Failed checks must be repaired before a blocking gate allows work through.
Load the repo, target files, task intent, and acceptance criteria.
Let the selected coding agent produce a bounded change.
Run tests, lint, type checks, security scans, and custom gates.
Update specs and status, then commit through the repo checks.
Agents can edit. Your quality standards decide what lands. Watch the 60-second introduction to LoopGate.
Fast code is not the milestone. Verified code is.